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Global-scale analysis of Earth observation data Dave Thau The Google Earth Engine 1.

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Presentation on theme: "Global-scale analysis of Earth observation data Dave Thau The Google Earth Engine 1."— Presentation transcript:

1 Global-scale analysis of Earth observation data Dave Thau thau@google.com The Google Earth Engine 1

2 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 Who are we? - Technology-Driven Philanthropy. Goal: Use Google's strengths in information and technology to address global challenges. 2

3 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 3 Google’s Strengths Data management, processing, Storage, indexing & delivery. Making things simple, at scale. Global Challenges Climate change Pandemic disease Poverty RE<C and RechargeIT Developing utility scale renewable energy cheaper than coal (RE<C) and accelerating the commercialization of plug-in vehicles (RechargeIT)‏ Google Power Meter Google PowerMeter is a home energy monitoring tool that gives you the information you need to use less electricity and save money. Google Flu Trends Google Flu Trends uses aggregated Google search data to estimate flu activity in near real-time in 20 countries. 3

4 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 Motivation UNEP: "Atlas of our Changing Environment" 4 Rondonia, Brazil June 1975 Rondonia, Brazil July 1989 Rondonia, Brazil September 2001

5 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 Challenges and Goals Access to Data o Cost, availability & licensing of petabytes o Raw data requires preprocessing Why should each user have to solve this on their own? Access to Software, Algorithms, and Hardware o What algorithms are available and where to find them? o I don’t have a cluster, what do I do? Non-technical Challenges o Open, transparent, verifiable o Privacy and sovereignty concerns Non-Goals Doing global monitoring ourselves Scientific algorithm research 5

6 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 6 The Plan Developing a platform for processing at scale Inherently parallel system Instant visualization Promote transparency, reproducibility, reuse Getting expertise from the experts Avoid reinventing the (scientific) wheel Partner with academic institutions, NGOs, indigenous people… Providing a place to publish (or not) Let users curate their own datasets and algorithms Help others to find them Or keep everything private 6

7 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 7

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11 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 11

12 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 12

13 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 13 Demo

14 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 14

15 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 Very fast computation of scientific map products Using arbitrary (user-supplied) algorithms With some nice features APIs for algorithm development and Web front ends Access control, versioning, provenance Online and Desktop versions (open source desktop version) TIFF / KML / Fusion Tables / Google Maps On a lot of data Stored in their native projection Every available Landsat scene Every MODIS scene Commercial datasets with cost pass-thru User supplied data Details 15

16 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 16 Android phones+OpenDataKit Training: Tanzania Village Forest Monitors, TZ Forestry and Beekeeping Division, Jane Goodall Institute, Nov 2009

17 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 17 Each point: GPS-tagged photo, tree info, plot info, more….

18 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 18 …more data collected for each in-situ sample point

19 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 19 Dataset from Brian Heidorn Image from Animal Biodiversity Web

20 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 Niche Modeling River health Your Ideas Biodiversity and Conservation 20 Prediction for Triatoma barberi Peterson, et al. 2002 Upper Mississippi From USGS

21 Google Earth Engine - thau@google.com - TWDG – September 28, 2010 Thank you To sign up for our trusted tester list: earthengine-beta@google.com 21


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